Agent frameworks don't work in production. Not because they're poorly designed—most are thoughtful. The problem is architectural. They're libraries that orchestrate LLM calls. Production agents are long-running distributed systems that need state, observability, and recovery.

Agent frameworks exploded fast. In demos, they deliver—until you try to run them in production. The problem isn't that frameworks are bad. Most are thoughtfully designed. The issue is architectural. They're libraries built for orchestration, not infrastructure for long-running

We had a structural problem. Every time a customer reported call quality issues or billing discrepancies, we pulled engineers off product work. They'd dig through CDRs, run network diagnostics, validate configurations—work that's absolutely necessary but shouldn't require

70-80 support tickets resolved daily. Zero human intervention. One week to production. Typical AI support escalates everything—it lacks system access. Samespace gave AI agents actual system access: customer databases, call logs, network diagnostics, billing APIs. Not triage.

A small gift from Origon — for developers, with love.

WE’RE HIRING: Motion Designer (Contract —> Full-time) We are looking for a world-class Motion Designer to help define the visual language of Origon. The Bar: We’re inspired by the precision of Apple and Linear and the fluid, premium motion of ElevenLabs, Framer, Webflow,